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Context-based evidence: Pilot study to extract, repurpose, and distribute published data on OUD.

Alexander Sheppard1, Carly Milliren2, Douglas Schatz3

  • 1University of California, Los Angeles, Los Angeles, California. ORCID: https://orcid.org/0009-0002-6259-6738.

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This study introduces a novel data organization method to synthesize vast opioid use disorder (OUD) research. This approach makes complex OUD information accessible for improved patient care and research.

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Area of Science:

  • * Medical Informatics
  • * Data Science
  • * Public Health

Background:

  • * Opioid use disorder (OUD) presents a significant global health challenge with extensive research literature.
  • * Synthesizing the vast body of OUD research is difficult for most individuals.
  • * Existing information retrieval methods may not facilitate rapid comprehension of OUD data.

Purpose of the Study:

  • * To pilot a data extraction and integration method for published OUD research.
  • * To repurpose existing OUD data for enhanced comprehension and global distribution.
  • * To develop a readily accessible knowledge base for opioid use disorder.

Main Methods:

  • * A data-tree structure was employed to organize information from 752 selected PubMed articles on OUD.
  • * Articles were screened, excluding review articles, case reports, and small sample series.
  • * A hierarchical note system with parent-child relationships was utilized for data integration.

Main Results:

  • * Four note types (topic, population, numeric value description, numeric value) proved sufficient for data description.
  • * Data integration using shared parent notes reduced the total number of notes by 72.9%.
  • * The data-tree structure allowed for flexible expansion and reduction of information nodes.

Conclusions:

  • * The developed method facilitates readily understandable grouping of large datasets.
  • * This strategy enables efficient extraction and accessibility of all published OUD data.
  • * Improved data accessibility is expected to enhance patient outcomes and research objectives in OUD.